Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance.
Ting WangSheng-Uei GuanKa Lok ManJong Hyuk ParkHui-Huang HsuPublished in: Symmetry (2015)
Keyphrases
- input features
- learning algorithm
- classification algorithm
- machine learning algorithms
- decision trees
- learning process
- supervised learning
- unsupervised learning
- feature values
- learning problems
- class labels
- support vector machine
- machine learning
- classification method
- training set
- text classification
- recognition rate
- image classification
- evolutionary algorithm
- artificial neural networks
- learning tasks
- feature extraction
- face recognition
- neural network